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Dagster Labs
We empower every organization to build a productive and scalable data platform.
Reviews (1)
reviewer2858760
Pipeline monitoring has improved and visual lineage now provides trusted, anomaly-aware data
Reviewed on Jun 19, 2026
Review provided by PeerSpot
What is our primary use case?
I perform orchestration around data by connecting raw app data using Fivetran inside BigQuery warehouse to DBT. I do this entire process using Dagster Labs.
My workflow is that Fivetran reads data from the raw data source and sends the data to BigQuery. From BigQuery, the data is read inside the BI dashboards. The entire pipeline from raw to Fivetran to BigQuery to BI dashboard is monitored inside Dagster Labs.
What is most valuable?
What I find beneficial with Dagster Labs is that it excels at pipeline monitoring. It provides good notification of schema changes and indicates whether the pipeline is stable or not.
I appreciate the visual lineage graph that Dagster Labs offers. It shows exactly which upstream table or API pull failed, timed out, or produced an anomaly.
Dagster Labs has given me better monitoring ability. I know whether data can be trusted based on what I see on the dashboards. This gives me more confidence in my data sources.
Dagster Labs has provided a good sense of the data pipeline I have been using. I have started to trust it even more because I have full confidence in whether it has been updated correctly and if it has failed. When there are any anomalies, I end up trusting my data even more. I have full confidence and control over the data pipeline. Overall, it has created a very positive impact.
One of the features I appreciate in Dagster Labs is resources, which is a cool capability to have.
What needs improvement?
There are many ways Dagster Labs can be improved. I believe the UI is very slow and it prevents loading state.
Regarding needed improvements, I think there should be very good support available for migration if someone is migrating from a legacy system to Dagster Labs. Maybe that support needs to be better in a way that there should be customer service available for it, with more documentation or GitHub documentation that details what you should do and should not do, including do's and don'ts and how it will be beneficial or not beneficial. Something approach may be helpful during migration.
For how long have I used the solution?
I have been using Dagster Labs for around a year.
What do I think about the stability of the solution?
It has definitely improved my downtime by twenty percent in relation to Dagster Labs.
What other advice do I have?
Based on how Dagster Labs works, I have more confidence in them. They would surely have a very good model to support all of the features they are providing.
My advice to others looking into using Dagster Labs is to take it slow and give time for things to develop. Things will get better.
I would rate this product an eight out of ten.